Quality risk management for microbial control in membrane-based water for injection production using fuzzy-failure mode and effects analysis.

Luoyin Zhu, Yi Liang
Author Information
  1. Luoyin Zhu: School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
  2. Yi Liang: School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.

Abstract

Microbial proliferation presents a significant challenge in membrane-based water for injection (WFI) production, particularly in systems with storage and ambient distribution, commonly refered to as cold WFI production. A comprehensive microbial risk assessment of membrane-based WFI systems was performed by employing Fuzzy-Failure Mode and Effects Analysis (Fuzzy-FMEA) to evaluate the potential microbial risks. Failure modes were identified and prioritized based on the Risk Priority Number (RPN), with appropriate preventive measures recommended to control failure modes that could increase the microbial load and mitigate their impact. Key hazards were identified including fouling of ultrafiltration (UF) membranes, insufficient sealing of heat exchangers, leakage in reverse osmosis (RO) membranes, and ineffective vent filters unable to remove airborn microorganism. Based on Fuzzy-FMEA results, suggestions for optimization were proposed to improve microbial control in membrane-based WFI systems in the pharmaceutical industry.

Keywords

References

  1. PLoS Comput Biol. 2023 Dec 21;19(12):e1011700 [PMID: 38127800]
  2. Environ Monit Assess. 2022 Jul 23;194(9):609 [PMID: 35870035]
  3. Water Res. 2013 May 15;47(8):2719-28 [PMID: 23510692]
  4. Water Res. 2016 Jul 1;98:384-95 [PMID: 27128885]
  5. Environ Technol. 2019 Jun;40(15):1977-1987 [PMID: 29383989]
  6. J Am Water Works Assoc. 2020 Mar 8;1(2): [PMID: 32184496]
  7. Microorganisms. 2022 Apr 21;10(5): [PMID: 35630315]
  8. Int J Environ Res Public Health. 2022 Dec 09;19(24): [PMID: 36554408]
  9. Environ Manage. 2021 Feb;67(2):324-341 [PMID: 33410919]
  10. Water Sci Technol. 2021 May;83(10):2549-2559 [PMID: 34032630]
  11. Water Res. 2021 Jun 15;198:117152 [PMID: 33940501]
  12. Chemosphere. 2022 Sep;303(Pt 2):135089 [PMID: 35623438]
  13. Medicina (Kaunas). 2020 Nov 06;56(11): [PMID: 33172013]
  14. Eur J Hosp Pharm. 2023 Mar;30(e1):e55-e60 [PMID: 35064019]
  15. Annu Rev Nutr. 2020 Sep 23;40:345-373 [PMID: 32966189]

Word Cloud

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